Image-based cell phenotyping with deep learning
Pratapa, Aditya, Michael Doron, and Juan Caicedo. 2021. “Image-Based Cell Phenotyping With Deep Learning”. 2021.
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Overview
Activities
Publications
Selected publications and preprints Nadig, A., Replogle, J. M., Pogson, A. N., McCarroll, S. A., Weissman, J. S., Robinson, E. B., & O'Connor, L. J. (2024). Transcriptome-wide characterization of genetic perturbations. bioRxiv, 2024-07. Salehi Nowbandegai, P.*, Wohns, A. W.*, …, Neale, B. M. & O...
Research
Our main research theme is empowering biologists with easy-to-use, comprehensively documented tools that facilitate discovery from biological images. From organelles to organisms, we create tools and workflows that allow biologists to find the objects they care about in microscopy images and...
Cimini Lab
Cimini Lab at the Broad Institute of MIT and Harvard
Documentation
Software and code
CellProfiler CellProfiler is a free open-source software designed to enable biologists without training in computer vision or programming to quantitatively measure phenotypes from thousands of images automatically. More information can be found in the CellProfiler Wiki. Download CellProfiler...
Luke Jen O’Connor
Email: loconnor@broadinstitute.org